EP0740280A2 - Méthode de détection des pertubations pour trafic routièr - Google Patents

Méthode de détection des pertubations pour trafic routièr Download PDF

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Publication number
EP0740280A2
EP0740280A2 EP96106579A EP96106579A EP0740280A2 EP 0740280 A2 EP0740280 A2 EP 0740280A2 EP 96106579 A EP96106579 A EP 96106579A EP 96106579 A EP96106579 A EP 96106579A EP 0740280 A2 EP0740280 A2 EP 0740280A2
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EP
European Patent Office
Prior art keywords
sector
vehicles
traffic
traffic volume
determined
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP96106579A
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German (de)
English (en)
Other versions
EP0740280A3 (fr
EP0740280B1 (fr
Inventor
M.O.R. Berhard Dipl.-Ing. Krause
Martin Pozybill
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Inform Institut fur Operations Research und Management GmbH
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Inform Institut fur Operations Research und Management GmbH
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Application filed by Inform Institut fur Operations Research und Management GmbH filed Critical Inform Institut fur Operations Research und Management GmbH
Publication of EP0740280A2 publication Critical patent/EP0740280A2/fr
Publication of EP0740280A3 publication Critical patent/EP0740280A3/fr
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Publication of EP0740280B1 publication Critical patent/EP0740280B1/fr
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Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/065Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions

Definitions

  • the invention relates to a method for detecting malfunctions in road traffic within a sector to be monitored, in which the number and speed of the vehicles passing through the measuring cross-sections are continuously recorded as measuring data at a measuring cross-section at the beginning and end of the sector, while being collected and cyclically added to finite, consecutively numbered measuring intervals Average values of the traffic volume and the speed are compressed and then evaluated, each measurement cross section comprising all lanes which can be driven in one direction of travel.
  • variable message signs Due to the constantly increasing road traffic, influencing systems with variable message signs are used more and more frequently for its collective control on multi-lane roads, the control of which uses different methods for fault detection in road traffic.
  • the motivation for investing in such systems and for developing associated procedures for fault detection is based on the fact that the variable traffic signs can be used to carry out warnings of the subsequent traffic moving towards fault locations, in the form of consequential accidents.
  • Of particular importance here is the most reliable and rapid detection of the fault, ie a shortening of the critical time between the occurrence and the protection of a fault.
  • Traffic is currently recorded using measurement methods that record measurement data from individual vehicles based on so-called measurement cross-sections. It is common to monitor individual sectors, each limited by a measurement cross-section at the beginning and end, i.e. Sections of a traffic line.
  • the quantity "traffic volume” is defined as the number of registered vehicles per unit of time, from which, for example, [units / min] results as their unit.
  • route system functions are formed with the aid of suitable correlation methods, from which the route-related traffic parameters "travel time” (and thus the average cruising speed) of the vehicle collectives considered in the route section between the input and output measurement cross sections and the "traffic density" in the route section between the input and output measurement cross sections can be derived.
  • a disadvantage of signal conditioning which is usually carried out in the form of exponential smoothing, is that parameters have to be set and set for each measuring cross-section and for all individual data, which results in a very high parameterization effort.
  • Statistical methods have the disadvantage that they are not significant because of the missing population in the individual decision.
  • the invention has for its object to propose a method with which, regardless of the traffic situation with the least possible loss of time and with little data processing and measurement technology disruptions in road traffic can be detected.
  • the continuous, dynamic balancing of the vehicles additionally entering the monitored sector enables fault detection to be achieved which is very reliable and largely independent of the respective traffic situation. If the traffic situation is trouble-free, the traffic flowing into the monitored sector can be found taking into account the averaged speeds, driving behavior, sector length and a distribution assumption at the sector exit.
  • the method according to the invention takes into account which proportion of the vehicles measured during a detection cycle will leave the monitored sector in the same cycle, only in the following cycle or in a later cycle. For this purpose, the proportion factors are determined, with the aid of which the vehicle collective recorded at the beginning of the sector of an acquisition cycle is divided over the two cycles during which its shares are likely to leave the sector again.
  • the disadvantages of methods which only consider the measurement data of the measurement cross sections at the beginning and end of the sector at the same time and independently of the route topology and with which only a relatively unreliable fault detection is possible even when constructing complex analysis criteria are reliably avoided by the method according to the invention.
  • the data processing outlay for the method according to the invention is at a very low level, which is most comparable to that for methods for accident detection on the basis of local measured variables.
  • the method according to the invention can also be used very economically, since an additional direct connection between the route stations assigned to the measuring cross sections, as is absolutely necessary in methods based on route-related traffic parameters, and because of the high reliability of the accident detection, the distances between two measuring cross sections , ie the sector length can be very large.
  • the predicted value of the traffic volume can now be determined from the counted vehicles, an assumption about the temporal distribution of the detected vehicles over the detection cycle T and the determined proportion factors of the vehicles.
  • BDQ i exceeds a certain limit value (for example, depending on the traffic condition)
  • a fault message is triggered.
  • the fault message can vary depending on the severity of the fault, ie the level of BDQ i , in order to prompt the following vehicles to behave appropriately in the special case.
  • a particularly advantageous embodiment of the invention consists in that the calculation of the forecast value of the traffic intensity is carried out separately for each lane in one direction of travel and a cyclical comparison is carried out between the sum of the forecast values of all traffic lanes in one direction of travel and the value of the traffic intensity determined at the measuring cross section at the end of the sector.
  • the reliability of the forecast value can be increased with the aid of this individual consideration of the lanes, since more precise assumptions for the driving behavior and the time distribution of the vehicles can be made for a single lane.
  • Individual forecasts for each lane with specific driving behavior (right lanes: truck traffic, left lane (l) lane: overtaking traffic) and subsequent summation thus deliver better results than a sum formation before the forecast, which leads to a loss of information.
  • fuzzy logic be used to trigger the fault message, in which, in addition to the number of additional vehicles remaining in the sector, at least one input variable describing the traffic condition is used.
  • a further development of the method according to the invention further consists in that the fuzzy logic delivers an output variable which describes the type of the accident.
  • the describable uncertainties as to how the drivers of the vehicles make use of their range of behavior, which is dependent on the particular traffic condition, in their driving style can be taken into account in an advantageous manner.
  • the effect is a further increase in the reliability of the method according to the invention.
  • the invention is further developed so that only the traffic volume and the speed of the trucks for fault detection are evaluated as measurement data, provided that the share of trucks in the total traffic volume exceeds a certain limit.
  • the measurement data acquired at the sector end of a sector are simultaneously used as measurement data at the beginning of the sector of a subsequent sector.
  • Each measurement cross section represents at the same time represent the measurement cross-section at the sector end of sector i and at the beginning of sector i + 1.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)
  • Road Signs Or Road Markings (AREA)
EP96106579A 1995-04-28 1996-04-26 Méthode de détection des pertubations pour trafic routièr Expired - Lifetime EP0740280B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19515229 1995-04-28
DE19515229 1995-04-28

Publications (3)

Publication Number Publication Date
EP0740280A2 true EP0740280A2 (fr) 1996-10-30
EP0740280A3 EP0740280A3 (fr) 1997-10-08
EP0740280B1 EP0740280B1 (fr) 1999-07-28

Family

ID=7760344

Family Applications (1)

Application Number Title Priority Date Filing Date
EP96106579A Expired - Lifetime EP0740280B1 (fr) 1995-04-28 1996-04-26 Méthode de détection des pertubations pour trafic routièr

Country Status (5)

Country Link
US (1) US5684475A (fr)
EP (1) EP0740280B1 (fr)
AT (1) ATE182709T1 (fr)
DE (1) DE59602517D1 (fr)
ES (1) ES2135134T3 (fr)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1998027525A1 (fr) * 1996-12-16 1998-06-25 Mannesmann Ag Procede pour completer et/ou verifier des donnees concernant l'etat d'un reseau routier; central d'informations routieres
WO1998038617A1 (fr) * 1997-02-28 1998-09-03 Robert Bosch Gmbh Dispositif et procede servant a donner des informations sur les encombrements de la circulation
EP0884708A3 (fr) * 1997-06-12 2000-03-15 MANNESMANN Aktiengesellschaft Procédé et dispositif de pronostic de l'état du trafic
EP0902405A3 (fr) * 1997-09-11 2000-08-23 Siemens Aktiengesellschaft Procédé de transmission d'information sur le trafic
EP0902403A3 (fr) * 1997-09-11 2000-08-23 Siemens Aktiengesellschaft Procédé de transmission d'information sur le trafic
EP0902404B1 (fr) * 1997-09-11 2004-11-17 Siemens Aktiengesellschaft Procédé de détermination d'information sur le trafic
DE102004009898A1 (de) * 2004-02-26 2005-09-22 Siemens Ag Verfahren zum Ermitteln des Verkehrszustandes auf einem Streckenabschnitt eines Straßennetzes sowie Verkehrsmanagementzentrale zur Durchführung des Verfahrens
FR2917219A1 (fr) * 2007-06-05 2008-12-12 Autoroutes Paris Rhin Rhone Sa Procede et dispositif de detection de bouchons routiers.
WO2010097325A1 (fr) * 2009-02-27 2010-09-02 Siemens Aktiengesellschaft Procédé et système de détection d'incidents sur un tronçon de route
CN103489316A (zh) * 2013-09-10 2014-01-01 同济大学 一种基于路网拓扑关系的网络交通流量检测器布设方法
CN115938126A (zh) * 2023-01-06 2023-04-07 南京慧尔视智能科技有限公司 一种基于雷达的溢出检测方法、装置、设备及存储介质

Families Citing this family (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19753034A1 (de) * 1997-11-18 1999-06-17 Ddg Ges Fuer Verkehrsdaten Mbh Verfahren zur Prognose eines den Zustand eines Systems repräsentierenden Parameters, insbesondere eines den Zustand eines Verkehrsnetzes repräsentierenden Verkehrsparameters und Vorrichtung zum Durchführen des Verfahrens
DE19752605A1 (de) * 1997-11-27 1999-06-02 Siemens Ag Verfahren und Anordnung zur rechnergestützten Ermittlung einer in Meßdaten enthaltenen Struktur unter Verwendung von Fuzzy Clustering
DE19805869A1 (de) * 1998-02-13 1999-08-26 Daimler Chrysler Ag Verfahren und Vorrichtung zur Bestimmung der Verkehrslage auf einem Verkehrswegennetz
DE19835979B4 (de) * 1998-08-08 2005-01-05 Daimlerchrysler Ag Verfahren zur Verkehrszustandsüberwachung und Fahrzeugzuflußsteuerung in einem Straßenverkehrsnetz
DE19935769C2 (de) * 1999-07-23 2002-02-07 Ddg Ges Fuer Verkehrsdaten Mbh Verkehrszustandsprognose durch rückgekoppelte Zustandskaskade
JP2001076198A (ja) * 1999-09-07 2001-03-23 Hitachi Ltd 通過車両時間管理システム
DE19944075C2 (de) * 1999-09-14 2002-01-31 Daimler Chrysler Ag Verfahren zur Verkehrszustandsüberwachung für ein Verkehrsnetz mit effektiven Engstellen
DE19944077C2 (de) * 1999-09-14 2002-02-07 Daimler Chrysler Ag Verfahren und Vorrichtung zur Verkehrszustandsüberwachung
ATE285614T1 (de) * 2000-03-15 2005-01-15 Raytheon Co Automatische unfallfeststellung
DE10022812A1 (de) * 2000-05-10 2001-11-22 Daimler Chrysler Ag Verfahren zur Verkehrslagebestimmung auf Basis von Meldefahrzeugdaten für ein Verkehrsnetz mit verkehrsgeregelten Netzknoten
DE10036364C2 (de) * 2000-07-18 2003-08-28 Ddg Ges Fuer Verkehrsdaten Mbh Verfahren zur Erstellung prognostizierter Verkehrsdaten für Verkehrsinformationen
DE10036789A1 (de) * 2000-07-28 2002-02-07 Daimler Chrysler Ag Verfahren zur Bestimmung des Verkehrszustands in einem Verkehrsnetz mit effektiven Engstellen
KR20040051778A (ko) * 2002-12-13 2004-06-19 주식회사 엘지씨엔에스 유고 감지 방법
US6810321B1 (en) 2003-03-17 2004-10-26 Sprint Communications Company L.P. Vehicle traffic monitoring using cellular telephone location and velocity data
US20050137783A1 (en) * 2003-12-17 2005-06-23 Dort David B. Traffic control and vehicle spacer system for the prevention of highway gridlock
JP5489489B2 (ja) * 2009-02-27 2014-05-14 三菱重工業株式会社 道路通行課金システム及び道路通行課金方法
US20140032282A1 (en) * 2012-07-25 2014-01-30 Xerox Corporation Model-based dynamic pricing for managed lanes
GB2518784B (en) * 2013-09-27 2015-10-21 Thales Holdings Uk Plc Apparatus and method for managing traffic
CN104392612A (zh) * 2014-11-20 2015-03-04 东南大学 一种基于新型探测车的城市交通状态监控方法
CN105869413A (zh) * 2016-06-23 2016-08-17 常州海蓝利科物联网技术有限公司 基于摄像头视频检测车流量和车速的方法
IT201800020929A1 (it) * 2018-12-21 2020-06-21 Telecom Italia Spa Tracciamento statistico delle dinamiche di una popolazione su un'area

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NL8402094A (nl) * 1984-07-02 1986-02-03 Philips Nv Werkwijze voor het besturen van een verkeersregelsysteem en het verkeersregelsysteem voor het toepassen van de werkwijze.
EP0470268B1 (fr) * 1990-02-26 1998-06-10 Matsushita Electric Industrial Co., Ltd. Appareil de surveillance de la circulation
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US5528234A (en) * 1994-02-01 1996-06-18 Mani; Siva A. Traffic monitoring system for determining vehicle dimensions, speed, and class

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1998027525A1 (fr) * 1996-12-16 1998-06-25 Mannesmann Ag Procede pour completer et/ou verifier des donnees concernant l'etat d'un reseau routier; central d'informations routieres
WO1998038617A1 (fr) * 1997-02-28 1998-09-03 Robert Bosch Gmbh Dispositif et procede servant a donner des informations sur les encombrements de la circulation
EP0884708A3 (fr) * 1997-06-12 2000-03-15 MANNESMANN Aktiengesellschaft Procédé et dispositif de pronostic de l'état du trafic
EP0902405A3 (fr) * 1997-09-11 2000-08-23 Siemens Aktiengesellschaft Procédé de transmission d'information sur le trafic
EP0902403A3 (fr) * 1997-09-11 2000-08-23 Siemens Aktiengesellschaft Procédé de transmission d'information sur le trafic
EP0902404B1 (fr) * 1997-09-11 2004-11-17 Siemens Aktiengesellschaft Procédé de détermination d'information sur le trafic
DE102004009898A1 (de) * 2004-02-26 2005-09-22 Siemens Ag Verfahren zum Ermitteln des Verkehrszustandes auf einem Streckenabschnitt eines Straßennetzes sowie Verkehrsmanagementzentrale zur Durchführung des Verfahrens
AT502459B1 (de) * 2004-02-26 2008-03-15 Siemens Ag Verfahren zum ermitteln des verkehrszustandes
DE102004009898B4 (de) * 2004-02-26 2009-05-20 Siemens Ag Verfahren zum Ermitteln des Verkehrszustandes auf einem Streckenabschnitt eines Straßennetzes sowie Verkehrsmanagementzentrale zur Durchführung des Verfahrens
FR2917219A1 (fr) * 2007-06-05 2008-12-12 Autoroutes Paris Rhin Rhone Sa Procede et dispositif de detection de bouchons routiers.
WO2008152279A3 (fr) * 2007-06-05 2009-02-12 Autoroutes Paris Rhin Rhone Sa Procede et dispositif de detection de bouchons routiers
WO2010097325A1 (fr) * 2009-02-27 2010-09-02 Siemens Aktiengesellschaft Procédé et système de détection d'incidents sur un tronçon de route
CN103489316A (zh) * 2013-09-10 2014-01-01 同济大学 一种基于路网拓扑关系的网络交通流量检测器布设方法
CN115938126A (zh) * 2023-01-06 2023-04-07 南京慧尔视智能科技有限公司 一种基于雷达的溢出检测方法、装置、设备及存储介质

Also Published As

Publication number Publication date
DE59602517D1 (de) 1999-09-02
EP0740280A3 (fr) 1997-10-08
ES2135134T3 (es) 1999-10-16
US5684475A (en) 1997-11-04
EP0740280B1 (fr) 1999-07-28
ATE182709T1 (de) 1999-08-15

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